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DPQ (version 0.5-9)

Density, Probability, Quantile ('DPQ') Computations

Description

Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. -- For several distribution functions, provide functions implementing formulas from Johnson, Kotz, and Kemp (1992) and Johnson, Kotz, and Balakrishnan (1995) for discrete or continuous distributions respectively. This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve standard R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.

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Version

Install

install.packages('DPQ')

Monthly Downloads

583

Version

0.5-9

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

August 23rd, 2024

Functions in DPQ (0.5-9)

fr_ld_exp

Base-2 Representation and Multiplication of Numbers
dhyperBinMolenaar

HyperGeometric (Point) Probabilities via Molenaar's Binomial Approximation
dpsifn

Psi Gamma Functions Workhorse from R's API
format01prec

Format Numbers in [0,1] with "Precise" Result
dtWV

Asymptotic Noncentral t Distribution Density by Viechtbauer
dgamma.R

Gamma Density Function Alternatives
expm1x

Accurate exp(x) - 1 - x (for smallish |x|)
dnt

Non-central t-Distribution Density - Algorithms and Approximations
dnbinomR

Pure R Versions of R's C (Mathlib) dnbinom() Negative Binomial Probabilities
dot-D-utils

Distribution Utilities "dpq"
gam1d

Compute 1/Gamma(x+1) - 1 Accurately
lfastchoose

R versions of Simple Formulas for Logarithmic Binomial Coefficients
log1pmx

Accurate log(1+x) - x Computation
gamln1

Compute log( Gamma(x+1) ) Accurately in [-0.2, 1.25]
log1mexp

Compute \(\mathrm{log}\)(1 - \(\mathrm{exp}\)(-a)) and \(\log(1 + \exp(x))\) Numerically Optimally
gammaVer

Gamma Function Versions
hyper2binomP

Transform Hypergeometric Distribution Parameters to Binomial Probability
lgammaAsymp

Asymptotic Log Gamma Function
lgamma1p

Accurate log(gamma(a+1))
lbeta

(Log) Beta and Ratio of Gammas Approximations
p1l1

Numerically Stable p1l1(t) = (t+1)*log(1+t) - t
newton

Simple R level Newton Algorithm, Mostly for Didactical Reasons
logcf

Continued Fraction Approximation of Log-Related Power Series
numer-utils

Numerical Utilities - Functions, Constants
lssum

Compute Logarithm of a Sum with Signed Large Summands
phyperAllBin

Compute Hypergeometric Probabilities via Binomial Approximations
pbetaRv1

Pure R Implementation of Old pbeta()
lsum

Properly Compute the Logarithm of a Sum (of Exponentials)
logspace.add

Logspace Arithmetix -- Addition and Subtraction
phyperApprAS152

Normal Approximation to cumulative Hyperbolic Distribution -- AS 152
phyperBin

HyperGeometric Distribution via Approximate Binomial Distribution
phyperPeizer

Peizer's Normal Approximation to the Cumulative Hyperbolic
phyperIbeta

Pearson's incomplete Beta Approximation to the Hyperbolic Distribution
pl2curves

Plot 2 Noncentral Distribution Curves for Visual Comparison
phypers

The Four (4) Symmetric 'phyper()' Calls
phyperR2

Pure R version of R's C level phyper()
pnbeta

Noncentral Beta Probabilities
phyperR

R-only version of R's original phyper() algorithm
phyperBinMolenaar

HyperGeometric Distribution via Molenaar's Binomial Approximation
phyperMolenaar

Molenaar's Normal Approximations to the Hypergeometric Distribution
pnormAsymp

Asymptotic Approxmation of (Extreme Tail) 'pnorm()'
pnormLU

Bounds for 1-Phi(.) -- Mill's Ratio related Bounds for pnorm()
ppoisson

Direct Computation of 'ppois()' Poisson Distribution Probabilities
pnchisqAppr

(Approximate) Probabilities of Non-Central Chi-squared Distribution
pt_Witkovsky_Tab1

Viktor Witosky's Table_1 pt() Examples
pow1p

Accurate \((1+x)^y\), notably for small \(|x|\)
pnchi1sq

(Probabilities of Non-Central Chi-squared Distribution for Special Cases
pnchisqWienergerm

Wienergerm Approximations to (Non-Central) Chi-squared Probabilities
pnt

Non-central t Probability Distribution - Algorithms and Approximations
pow

X to Power of Y -- R C API R_pow()
qnormAppr

Approximations to 'qnorm()', i.e., \(z_\alpha\)
qnormR

Pure R version of R's qnorm() with Diagnostics and Tuning Parameters
qbetaAppr

Compute (Approximate) Quantiles of the Beta Distribution
qchisqAppr

Compute Approximate Quantiles of the Chi-Squared Distribution
qnormAsymp

Asymptotic Approximation to Outer Tail of qnorm()
qnbinomR

Pure R Implementation of R's qnbinom() with Tuning Parameters
qnchisqAppr

Compute Approximate Quantiles of Noncentral Chi-Squared Distribution
qntR

Pure R Implementation of R's qt() / qnt()
qbinomR

Pure R Implementation of R's qbinom() with Tuning Parameters
qgammaAppr

Compute (Approximate) Quantiles of the Gamma Distribution
r_pois

Compute Relative Size of i-th term of Poisson Distribution Series
qtU

'uniroot()'-based Computing of t-Distribution Quantiles
qtR

Pure R Implementation of R's C-level t-Distribution Quantiles qt()
rexpm1

TOMS 708 Approximation REXP(x) of expm1(x) = exp(x) - 1
stirlerr

Stirling's Error Function - Auxiliary for Gamma, Beta, etc
qpoisR

Pure R Implementation of R's qpois() with Tuning Parameters
qtAppr

Compute Approximate Quantiles of the (Non-Central) t-Distribution
dchisqApprox

Approximations of the (Noncentral) Chi-Squared Density
Bern

Bernoulli Numbers
bpser

pbeta() 'bpser' series computation
dbinom_raw

R's C Mathlib (Rmath) dbinom_raw() Binomial Probability pure R Function
chebyshevPoly

Chebyshev Polynomial Evaluation
dgamma-utils

Binomial Deviance -- Auxiliary Functions for dgamma() Etc
DPQ-package

tools:::Rd_package_title("DPQ")
b_chi

Compute \(E[\chi_\nu] / \sqrt{\nu}\) useful for t- and chi-Distributions
Ixpq

Normalized Incomplete Beta Function "Like" pbeta()
algdiv

Compute log(gamma(b)/gamma(a+b)) when b >= 8